Dataset statistics
| Number of variables | 31 |
|---|---|
| Number of observations | 41174 |
| Missing cells | 0 |
| Missing cells (%) | 0.0% |
| Duplicate rows | 0 |
| Duplicate rows (%) | 0.0% |
| Total size in memory | 6.7 MiB |
| Average record size in memory | 171.0 B |
Variable types
| Numeric | 11 |
|---|---|
| Categorical | 19 |
| Boolean | 1 |
df_index is highly correlated with emp.var.rate and 3 other fields | High correlation |
pdays is highly correlated with previous | High correlation |
previous is highly correlated with pdays and 1 other fields | High correlation |
emp.var.rate is highly correlated with df_index and 3 other fields | High correlation |
cons.price.idx is highly correlated with df_index and 3 other fields | High correlation |
euribor3m is highly correlated with df_index and 3 other fields | High correlation |
nr.employed is highly correlated with df_index and 4 other fields | High correlation |
df_index is highly correlated with emp.var.rate and 3 other fields | High correlation |
pdays is highly correlated with previous | High correlation |
previous is highly correlated with pdays | High correlation |
emp.var.rate is highly correlated with df_index and 3 other fields | High correlation |
cons.price.idx is highly correlated with df_index and 1 other fields | High correlation |
euribor3m is highly correlated with df_index and 2 other fields | High correlation |
nr.employed is highly correlated with df_index and 2 other fields | High correlation |
df_index is highly correlated with cons.price.idx | High correlation |
pdays is highly correlated with previous | High correlation |
previous is highly correlated with pdays | High correlation |
emp.var.rate is highly correlated with cons.price.idx and 2 other fields | High correlation |
cons.price.idx is highly correlated with df_index and 1 other fields | High correlation |
euribor3m is highly correlated with emp.var.rate and 1 other fields | High correlation |
nr.employed is highly correlated with emp.var.rate and 1 other fields | High correlation |
nr.employed is highly correlated with pdays and 9 other fields | High correlation |
age is highly correlated with job_retired | High correlation |
pdays is highly correlated with nr.employed and 5 other fields | High correlation |
cons.conf.idx is highly correlated with nr.employed and 9 other fields | High correlation |
subscribed is highly correlated with nr.employed and 3 other fields | High correlation |
month is highly correlated with nr.employed and 6 other fields | High correlation |
df_index is highly correlated with nr.employed and 9 other fields | High correlation |
cons.price.idx is highly correlated with nr.employed and 7 other fields | High correlation |
emp.var.rate is highly correlated with nr.employed and 7 other fields | High correlation |
job_retired is highly correlated with age | High correlation |
contact is highly correlated with nr.employed and 6 other fields | High correlation |
previous is highly correlated with pdays and 2 other fields | High correlation |
poutcome is highly correlated with nr.employed and 7 other fields | High correlation |
euribor3m is highly correlated with nr.employed and 10 other fields | High correlation |
month is highly correlated with contact | High correlation |
job_blue-collar is highly correlated with education | High correlation |
education is highly correlated with job_blue-collar | High correlation |
contact is highly correlated with month | High correlation |
df_index is uniformly distributed | Uniform |
df_index has unique values | Unique |
previous has 35549 (86.3%) zeros | Zeros |
Reproduction
| Analysis started | 2021-07-19 11:16:43.677581 |
|---|---|
| Analysis finished | 2021-07-19 11:17:32.140488 |
| Duration | 48.46 seconds |
| Software version | pandas-profiling v3.0.0 |
| Download configuration | config.json |
df_index
Real number (ℝ≥0)
HIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATIONUNIFORMUNIQUE| Distinct | 41174 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 20593.43411 |
| Minimum | 0 |
|---|---|
| Maximum | 41187 |
| Zeros | 1 |
| Zeros (%) | < 0.1% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 321.8 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 2059.65 |
| Q1 | 10295.25 |
| median | 20595.5 |
| Q3 | 30890.75 |
| 95-th percentile | 39128.35 |
| Maximum | 41187 |
| Range | 41187 |
| Interquartile range (IQR) | 20595.5 |
Descriptive statistics
| Standard deviation | 11890.5728 |
|---|---|
| Coefficient of variation (CV) | 0.5773963067 |
| Kurtosis | -1.200140335 |
| Mean | 20593.43411 |
| Median Absolute Deviation (MAD) | 10298 |
| Skewness | -4.76413043 × 10-7 |
| Sum | 847914056 |
| Variance | 141385721.4 |
| Monotonicity | Strictly increasing |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 0 | 1 | < 0.1% |
| 23294 | 1 | < 0.1% |
| 35492 | 1 | < 0.1% |
| 33445 | 1 | < 0.1% |
| 39590 | 1 | < 0.1% |
| 37543 | 1 | < 0.1% |
| 10928 | 1 | < 0.1% |
| 8881 | 1 | < 0.1% |
| 15026 | 1 | < 0.1% |
| 12979 | 1 | < 0.1% |
| Other values (41164) | 41164 |
| Value | Count | Frequency (%) |
| 0 | 1 | |
| 1 | 1 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 1 |
| Value | Count | Frequency (%) |
| 41187 | 1 | |
| 41186 | 1 | |
| 41185 | 1 | |
| 41184 | 1 | |
| 41183 | 1 | |
| 41182 | 1 | |
| 41181 | 1 | |
| 41180 | 1 | |
| 41179 | 1 | |
| 41178 | 1 |
| Distinct | 78 |
|---|---|
| Distinct (%) | 0.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 40.02402001 |
| Minimum | 17 |
|---|---|
| Maximum | 98 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 321.8 KiB |
Quantile statistics
| Minimum | 17 |
|---|---|
| 5-th percentile | 26 |
| Q1 | 32 |
| median | 38 |
| Q3 | 47 |
| 95-th percentile | 58 |
| Maximum | 98 |
| Range | 81 |
| Interquartile range (IQR) | 15 |
Descriptive statistics
| Standard deviation | 10.42083807 |
|---|---|
| Coefficient of variation (CV) | 0.2603646026 |
| Kurtosis | 0.7909874386 |
| Mean | 40.02402001 |
| Median Absolute Deviation (MAD) | 7 |
| Skewness | 0.7845151491 |
| Sum | 1647949 |
| Variance | 108.593866 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 31 | 1946 | 4.7% |
| 32 | 1845 | 4.5% |
| 33 | 1833 | 4.5% |
| 36 | 1779 | 4.3% |
| 35 | 1758 | 4.3% |
| 34 | 1745 | 4.2% |
| 30 | 1714 | 4.2% |
| 37 | 1475 | 3.6% |
| 29 | 1453 | 3.5% |
| 39 | 1430 | 3.5% |
| Other values (68) | 24196 |
| Value | Count | Frequency (%) |
| 17 | 5 | < 0.1% |
| 18 | 28 | 0.1% |
| 19 | 42 | 0.1% |
| 20 | 65 | 0.2% |
| 21 | 102 | 0.2% |
| 22 | 137 | 0.3% |
| 23 | 226 | 0.5% |
| 24 | 462 | |
| 25 | 598 | |
| 26 | 698 |
| Value | Count | Frequency (%) |
| 98 | 2 | < 0.1% |
| 95 | 1 | < 0.1% |
| 94 | 1 | < 0.1% |
| 92 | 4 | < 0.1% |
| 91 | 2 | < 0.1% |
| 89 | 2 | < 0.1% |
| 88 | 22 | |
| 87 | 1 | < 0.1% |
| 86 | 8 | < 0.1% |
| 85 | 15 |
marital
Categorical
| Distinct | 3 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 321.8 KiB |
| married | |
|---|---|
| single | |
| divorced |
Length
| Max length | 8 |
|---|---|
| Median length | 7 |
| Mean length | 6.831155584 |
| Min length | 6 |
Characters and Unicode
| Total characters | 281266 |
|---|---|
| Distinct characters | 13 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | married |
|---|---|
| 2nd row | married |
| 3rd row | married |
| 4th row | married |
| 5th row | married |
Common Values
| Value | Count | Frequency (%) |
| married | 25000 | |
| single | 11563 | |
| divorced | 4611 | 11.2% |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| married | 25000 | |
| single | 11563 | |
| divorced | 4611 | 11.2% |
Most occurring characters
| Value | Count | Frequency (%) |
| r | 54611 | |
| i | 41174 | |
| e | 41174 | |
| d | 34222 | |
| m | 25000 | |
| a | 25000 | |
| s | 11563 | 4.1% |
| n | 11563 | 4.1% |
| g | 11563 | 4.1% |
| l | 11563 | 4.1% |
| Other values (3) | 13833 | 4.9% |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 281266 |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| r | 54611 | |
| i | 41174 | |
| e | 41174 | |
| d | 34222 | |
| m | 25000 | |
| a | 25000 | |
| s | 11563 | 4.1% |
| n | 11563 | 4.1% |
| g | 11563 | 4.1% |
| l | 11563 | 4.1% |
| Other values (3) | 13833 | 4.9% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 281266 |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| r | 54611 | |
| i | 41174 | |
| e | 41174 | |
| d | 34222 | |
| m | 25000 | |
| a | 25000 | |
| s | 11563 | 4.1% |
| n | 11563 | 4.1% |
| g | 11563 | 4.1% |
| l | 11563 | 4.1% |
| Other values (3) | 13833 | 4.9% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 281266 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| r | 54611 | |
| i | 41174 | |
| e | 41174 | |
| d | 34222 | |
| m | 25000 | |
| a | 25000 | |
| s | 11563 | 4.1% |
| n | 11563 | 4.1% |
| g | 11563 | 4.1% |
| l | 11563 | 4.1% |
| Other values (3) | 13833 | 4.9% |
| Distinct | 5 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 321.8 KiB |
| basic | |
|---|---|
| university.degree | |
| high.school | |
| professional.course | |
| illiterate | 18 |
Length
| Max length | 19 |
|---|---|
| Median length | 11 |
| Mean length | 11.71467431 |
| Min length | 5 |
Characters and Unicode
| Total characters | 482340 |
|---|---|
| Distinct characters | 20 |
| Distinct categories | 2 ? |
| Distinct scripts | 2 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | basic |
|---|---|
| 2nd row | high.school |
| 3rd row | high.school |
| 4th row | basic |
| 5th row | high.school |
Common Values
| Value | Count | Frequency (%) |
| basic | 14242 | |
| university.degree | 12164 | |
| high.school | 9511 | |
| professional.course | 5239 | 12.7% |
| illiterate | 18 | < 0.1% |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| basic | 14242 | |
| university.degree | 12164 | |
| high.school | 9511 | |
| professional.course | 5239 | 12.7% |
| illiterate | 18 | < 0.1% |
Most occurring characters
| Value | Count | Frequency (%) |
| e | 59170 | |
| i | 53356 | |
| s | 51634 | |
| r | 34824 | 7.2% |
| o | 34739 | 7.2% |
| c | 28992 | 6.0% |
| h | 28533 | 5.9% |
| . | 26914 | 5.6% |
| g | 21675 | 4.5% |
| a | 19499 | 4.0% |
| Other values (10) | 123004 |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 455426 | |
| Other Punctuation | 26914 | 5.6% |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| e | 59170 | |
| i | 53356 | |
| s | 51634 | |
| r | 34824 | 7.6% |
| o | 34739 | 7.6% |
| c | 28992 | 6.4% |
| h | 28533 | 6.3% |
| g | 21675 | 4.8% |
| a | 19499 | 4.3% |
| n | 17403 | 3.8% |
| Other values (9) | 105601 |
Other Punctuation
| Value | Count | Frequency (%) |
| . | 26914 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 455426 | |
| Common | 26914 | 5.6% |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| e | 59170 | |
| i | 53356 | |
| s | 51634 | |
| r | 34824 | 7.6% |
| o | 34739 | 7.6% |
| c | 28992 | 6.4% |
| h | 28533 | 6.3% |
| g | 21675 | 4.8% |
| a | 19499 | 4.3% |
| n | 17403 | 3.8% |
| Other values (9) | 105601 |
Common
| Value | Count | Frequency (%) |
| . | 26914 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 482340 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| e | 59170 | |
| i | 53356 | |
| s | 51634 | |
| r | 34824 | 7.2% |
| o | 34739 | 7.2% |
| c | 28992 | 6.0% |
| h | 28533 | 5.9% |
| . | 26914 | 5.6% |
| g | 21675 | 4.5% |
| a | 19499 | 4.0% |
| Other values (10) | 123004 |
default
Boolean
| Distinct | 2 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 40.3 KiB |
| False | |
|---|---|
| True | 3 |
| Value | Count | Frequency (%) |
| False | 41171 | |
| True | 3 | < 0.1% |
| Distinct | 2 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 321.8 KiB |
| cellular | |
|---|---|
| telephone |
Length
| Max length | 9 |
|---|---|
| Median length | 8 |
| Mean length | 8.36527906 |
| Min length | 8 |
Characters and Unicode
| Total characters | 344432 |
|---|---|
| Distinct characters | 11 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | telephone |
|---|---|
| 2nd row | telephone |
| 3rd row | telephone |
| 4th row | telephone |
| 5th row | telephone |
Common Values
| Value | Count | Frequency (%) |
| cellular | 26134 | |
| telephone | 15040 |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| cellular | 26134 | |
| telephone | 15040 |
Most occurring characters
| Value | Count | Frequency (%) |
| l | 93442 | |
| e | 71254 | |
| c | 26134 | 7.6% |
| u | 26134 | 7.6% |
| a | 26134 | 7.6% |
| r | 26134 | 7.6% |
| t | 15040 | 4.4% |
| p | 15040 | 4.4% |
| h | 15040 | 4.4% |
| o | 15040 | 4.4% |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 344432 |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| l | 93442 | |
| e | 71254 | |
| c | 26134 | 7.6% |
| u | 26134 | 7.6% |
| a | 26134 | 7.6% |
| r | 26134 | 7.6% |
| t | 15040 | 4.4% |
| p | 15040 | 4.4% |
| h | 15040 | 4.4% |
| o | 15040 | 4.4% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 344432 |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| l | 93442 | |
| e | 71254 | |
| c | 26134 | 7.6% |
| u | 26134 | 7.6% |
| a | 26134 | 7.6% |
| r | 26134 | 7.6% |
| t | 15040 | 4.4% |
| p | 15040 | 4.4% |
| h | 15040 | 4.4% |
| o | 15040 | 4.4% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 344432 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| l | 93442 | |
| e | 71254 | |
| c | 26134 | 7.6% |
| u | 26134 | 7.6% |
| a | 26134 | 7.6% |
| r | 26134 | 7.6% |
| t | 15040 | 4.4% |
| p | 15040 | 4.4% |
| h | 15040 | 4.4% |
| o | 15040 | 4.4% |
| Distinct | 10 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 321.8 KiB |
| may | |
|---|---|
| jul | |
| aug | |
| jun | |
| nov | |
| Other values (5) |
Length
| Max length | 3 |
|---|---|
| Median length | 3 |
| Mean length | 3 |
| Min length | 3 |
Characters and Unicode
| Total characters | 123522 |
|---|---|
| Distinct characters | 17 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | may |
|---|---|
| 2nd row | may |
| 3rd row | may |
| 4th row | may |
| 5th row | may |
Common Values
| Value | Count | Frequency (%) |
| may | 13766 | |
| jul | 7169 | |
| aug | 6175 | |
| jun | 5318 | 12.9% |
| nov | 4100 | 10.0% |
| apr | 2631 | 6.4% |
| oct | 717 | 1.7% |
| sep | 570 | 1.4% |
| mar | 546 | 1.3% |
| dec | 182 | 0.4% |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| may | 13766 | |
| jul | 7169 | |
| aug | 6175 | |
| jun | 5318 | 12.9% |
| nov | 4100 | 10.0% |
| apr | 2631 | 6.4% |
| oct | 717 | 1.7% |
| sep | 570 | 1.4% |
| mar | 546 | 1.3% |
| dec | 182 | 0.4% |
Most occurring characters
| Value | Count | Frequency (%) |
| a | 23118 | |
| u | 18662 | |
| m | 14312 | |
| y | 13766 | |
| j | 12487 | |
| n | 9418 | |
| l | 7169 | 5.8% |
| g | 6175 | 5.0% |
| o | 4817 | 3.9% |
| v | 4100 | 3.3% |
| Other values (7) | 9498 |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 123522 |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| a | 23118 | |
| u | 18662 | |
| m | 14312 | |
| y | 13766 | |
| j | 12487 | |
| n | 9418 | |
| l | 7169 | 5.8% |
| g | 6175 | 5.0% |
| o | 4817 | 3.9% |
| v | 4100 | 3.3% |
| Other values (7) | 9498 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 123522 |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| a | 23118 | |
| u | 18662 | |
| m | 14312 | |
| y | 13766 | |
| j | 12487 | |
| n | 9418 | |
| l | 7169 | 5.8% |
| g | 6175 | 5.0% |
| o | 4817 | 3.9% |
| v | 4100 | 3.3% |
| Other values (7) | 9498 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 123522 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| a | 23118 | |
| u | 18662 | |
| m | 14312 | |
| y | 13766 | |
| j | 12487 | |
| n | 9418 | |
| l | 7169 | 5.8% |
| g | 6175 | 5.0% |
| o | 4817 | 3.9% |
| v | 4100 | 3.3% |
| Other values (7) | 9498 |
day_of_week
Categorical
| Distinct | 5 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 321.8 KiB |
| thu | |
|---|---|
| mon | |
| wed | |
| tue | |
| fri |
Length
| Max length | 3 |
|---|---|
| Median length | 3 |
| Mean length | 3 |
| Min length | 3 |
Characters and Unicode
| Total characters | 123522 |
|---|---|
| Distinct characters | 12 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | mon |
|---|---|
| 2nd row | mon |
| 3rd row | mon |
| 4th row | mon |
| 5th row | mon |
Common Values
| Value | Count | Frequency (%) |
| thu | 8618 | |
| mon | 8512 | |
| wed | 8133 | |
| tue | 8085 | |
| fri | 7826 |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| thu | 8618 | |
| mon | 8512 | |
| wed | 8133 | |
| tue | 8085 | |
| fri | 7826 |
Most occurring characters
| Value | Count | Frequency (%) |
| t | 16703 | |
| u | 16703 | |
| e | 16218 | |
| h | 8618 | |
| m | 8512 | |
| o | 8512 | |
| n | 8512 | |
| w | 8133 | |
| d | 8133 | |
| f | 7826 | |
| Other values (2) | 15652 |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 123522 |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| t | 16703 | |
| u | 16703 | |
| e | 16218 | |
| h | 8618 | |
| m | 8512 | |
| o | 8512 | |
| n | 8512 | |
| w | 8133 | |
| d | 8133 | |
| f | 7826 | |
| Other values (2) | 15652 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 123522 |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| t | 16703 | |
| u | 16703 | |
| e | 16218 | |
| h | 8618 | |
| m | 8512 | |
| o | 8512 | |
| n | 8512 | |
| w | 8133 | |
| d | 8133 | |
| f | 7826 | |
| Other values (2) | 15652 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 123522 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| t | 16703 | |
| u | 16703 | |
| e | 16218 | |
| h | 8618 | |
| m | 8512 | |
| o | 8512 | |
| n | 8512 | |
| w | 8133 | |
| d | 8133 | |
| f | 7826 | |
| Other values (2) | 15652 |
duration
Real number (ℝ≥0)
| Distinct | 1544 |
|---|---|
| Distinct (%) | 3.7% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 258.3192063 |
| Minimum | 0 |
|---|---|
| Maximum | 4918 |
| Zeros | 4 |
| Zeros (%) | < 0.1% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 321.8 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 36 |
| Q1 | 102 |
| median | 180 |
| Q3 | 319 |
| 95-th percentile | 753 |
| Maximum | 4918 |
| Range | 4918 |
| Interquartile range (IQR) | 217 |
Descriptive statistics
| Standard deviation | 259.3106284 |
|---|---|
| Coefficient of variation (CV) | 1.003837973 |
| Kurtosis | 20.24282408 |
| Mean | 258.3192063 |
| Median Absolute Deviation (MAD) | 94 |
| Skewness | 3.262730699 |
| Sum | 10636035 |
| Variance | 67242.00198 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 90 | 170 | 0.4% |
| 85 | 170 | 0.4% |
| 136 | 168 | 0.4% |
| 73 | 167 | 0.4% |
| 124 | 163 | 0.4% |
| 87 | 162 | 0.4% |
| 72 | 161 | 0.4% |
| 104 | 161 | 0.4% |
| 111 | 160 | 0.4% |
| 106 | 159 | 0.4% |
| Other values (1534) | 39533 |
| Value | Count | Frequency (%) |
| 0 | 4 | < 0.1% |
| 1 | 3 | < 0.1% |
| 2 | 1 | < 0.1% |
| 3 | 3 | < 0.1% |
| 4 | 12 | < 0.1% |
| 5 | 30 | 0.1% |
| 6 | 37 | |
| 7 | 54 | |
| 8 | 69 | |
| 9 | 77 |
| Value | Count | Frequency (%) |
| 4918 | 1 | |
| 4199 | 1 | |
| 3785 | 1 | |
| 3643 | 1 | |
| 3631 | 1 | |
| 3509 | 1 | |
| 3422 | 1 | |
| 3366 | 1 | |
| 3322 | 1 | |
| 3284 | 1 |
campaign
Real number (ℝ≥0)
| Distinct | 42 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 2.567931219 |
| Minimum | 1 |
|---|---|
| Maximum | 56 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 321.8 KiB |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 1 |
| Q1 | 1 |
| median | 2 |
| Q3 | 3 |
| 95-th percentile | 7 |
| Maximum | 56 |
| Range | 55 |
| Interquartile range (IQR) | 2 |
Descriptive statistics
| Standard deviation | 2.770373431 |
|---|---|
| Coefficient of variation (CV) | 1.078834749 |
| Kurtosis | 36.97026038 |
| Mean | 2.567931219 |
| Median Absolute Deviation (MAD) | 1 |
| Skewness | 4.761939714 |
| Sum | 105732 |
| Variance | 7.674968945 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=42)
| Value | Count | Frequency (%) |
| 1 | 17633 | |
| 2 | 10567 | |
| 3 | 5340 | 13.0% |
| 4 | 2650 | 6.4% |
| 5 | 1599 | 3.9% |
| 6 | 979 | 2.4% |
| 7 | 629 | 1.5% |
| 8 | 400 | 1.0% |
| 9 | 283 | 0.7% |
| 10 | 225 | 0.5% |
| Other values (32) | 869 | 2.1% |
| Value | Count | Frequency (%) |
| 1 | 17633 | |
| 2 | 10567 | |
| 3 | 5340 | 13.0% |
| 4 | 2650 | 6.4% |
| 5 | 1599 | 3.9% |
| 6 | 979 | 2.4% |
| 7 | 629 | 1.5% |
| 8 | 400 | 1.0% |
| 9 | 283 | 0.7% |
| 10 | 225 | 0.5% |
| Value | Count | Frequency (%) |
| 56 | 1 | < 0.1% |
| 43 | 2 | < 0.1% |
| 42 | 2 | < 0.1% |
| 41 | 1 | < 0.1% |
| 40 | 2 | < 0.1% |
| 39 | 1 | < 0.1% |
| 37 | 1 | < 0.1% |
| 35 | 5 | |
| 34 | 3 | |
| 33 | 4 |
| Distinct | 27 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 962.4630349 |
| Minimum | 0 |
|---|---|
| Maximum | 999 |
| Zeros | 15 |
| Zeros (%) | < 0.1% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 321.8 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 999 |
| Q1 | 999 |
| median | 999 |
| Q3 | 999 |
| 95-th percentile | 999 |
| Maximum | 999 |
| Range | 999 |
| Interquartile range (IQR) | 0 |
Descriptive statistics
| Standard deviation | 186.9414685 |
|---|---|
| Coefficient of variation (CV) | 0.1942323619 |
| Kurtosis | 22.22023448 |
| Mean | 962.4630349 |
| Median Absolute Deviation (MAD) | 0 |
| Skewness | -4.921252447 |
| Sum | 39628453 |
| Variance | 34947.11265 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=27)
| Value | Count | Frequency (%) |
| 999 | 39659 | |
| 3 | 439 | 1.1% |
| 6 | 412 | 1.0% |
| 4 | 118 | 0.3% |
| 9 | 64 | 0.2% |
| 2 | 61 | 0.1% |
| 7 | 60 | 0.1% |
| 12 | 58 | 0.1% |
| 10 | 52 | 0.1% |
| 5 | 46 | 0.1% |
| Other values (17) | 205 | 0.5% |
| Value | Count | Frequency (%) |
| 0 | 15 | < 0.1% |
| 1 | 26 | 0.1% |
| 2 | 61 | 0.1% |
| 3 | 439 | |
| 4 | 118 | 0.3% |
| 5 | 46 | 0.1% |
| 6 | 412 | |
| 7 | 60 | 0.1% |
| 8 | 18 | < 0.1% |
| 9 | 64 | 0.2% |
| Value | Count | Frequency (%) |
| 999 | 39659 | |
| 27 | 1 | < 0.1% |
| 26 | 1 | < 0.1% |
| 25 | 1 | < 0.1% |
| 22 | 3 | < 0.1% |
| 21 | 2 | < 0.1% |
| 20 | 1 | < 0.1% |
| 19 | 3 | < 0.1% |
| 18 | 7 | < 0.1% |
| 17 | 8 | < 0.1% |
| Distinct | 8 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 0.1730218099 |
| Minimum | 0 |
|---|---|
| Maximum | 7 |
| Zeros | 35549 |
| Zeros (%) | 86.3% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 321.8 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0 |
| median | 0 |
| Q3 | 0 |
| 95-th percentile | 1 |
| Maximum | 7 |
| Range | 7 |
| Interquartile range (IQR) | 0 |
Descriptive statistics
| Standard deviation | 0.4949749339 |
|---|---|
| Coefficient of variation (CV) | 2.860766133 |
| Kurtosis | 20.10105502 |
| Mean | 0.1730218099 |
| Median Absolute Deviation (MAD) | 0 |
| Skewness | 3.831287716 |
| Sum | 7124 |
| Variance | 0.2450001852 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=8)
| Value | Count | Frequency (%) |
| 0 | 35549 | |
| 1 | 4561 | 11.1% |
| 2 | 754 | 1.8% |
| 3 | 216 | 0.5% |
| 4 | 70 | 0.2% |
| 5 | 18 | < 0.1% |
| 6 | 5 | < 0.1% |
| 7 | 1 | < 0.1% |
| Value | Count | Frequency (%) |
| 0 | 35549 | |
| 1 | 4561 | 11.1% |
| 2 | 754 | 1.8% |
| 3 | 216 | 0.5% |
| 4 | 70 | 0.2% |
| 5 | 18 | < 0.1% |
| 6 | 5 | < 0.1% |
| 7 | 1 | < 0.1% |
| Value | Count | Frequency (%) |
| 7 | 1 | < 0.1% |
| 6 | 5 | < 0.1% |
| 5 | 18 | < 0.1% |
| 4 | 70 | 0.2% |
| 3 | 216 | 0.5% |
| 2 | 754 | 1.8% |
| 1 | 4561 | 11.1% |
| 0 | 35549 |
| Distinct | 3 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 321.8 KiB |
| nonexistent | |
|---|---|
| failure | |
| success | 1373 |
Length
| Max length | 11 |
|---|---|
| Median length | 11 |
| Mean length | 10.45353864 |
| Min length | 7 |
Characters and Unicode
| Total characters | 430414 |
|---|---|
| Distinct characters | 13 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | nonexistent |
|---|---|
| 2nd row | nonexistent |
| 3rd row | nonexistent |
| 4th row | nonexistent |
| 5th row | nonexistent |
Common Values
| Value | Count | Frequency (%) |
| nonexistent | 35549 | |
| failure | 4252 | 10.3% |
| success | 1373 | 3.3% |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| nonexistent | 35549 | |
| failure | 4252 | 10.3% |
| success | 1373 | 3.3% |
Most occurring characters
| Value | Count | Frequency (%) |
| n | 106647 | |
| e | 76723 | |
| t | 71098 | |
| i | 39801 | 9.2% |
| s | 39668 | 9.2% |
| o | 35549 | 8.3% |
| x | 35549 | 8.3% |
| u | 5625 | 1.3% |
| f | 4252 | 1.0% |
| a | 4252 | 1.0% |
| Other values (3) | 11250 | 2.6% |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 430414 |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| n | 106647 | |
| e | 76723 | |
| t | 71098 | |
| i | 39801 | 9.2% |
| s | 39668 | 9.2% |
| o | 35549 | 8.3% |
| x | 35549 | 8.3% |
| u | 5625 | 1.3% |
| f | 4252 | 1.0% |
| a | 4252 | 1.0% |
| Other values (3) | 11250 | 2.6% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 430414 |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| n | 106647 | |
| e | 76723 | |
| t | 71098 | |
| i | 39801 | 9.2% |
| s | 39668 | 9.2% |
| o | 35549 | 8.3% |
| x | 35549 | 8.3% |
| u | 5625 | 1.3% |
| f | 4252 | 1.0% |
| a | 4252 | 1.0% |
| Other values (3) | 11250 | 2.6% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 430414 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| n | 106647 | |
| e | 76723 | |
| t | 71098 | |
| i | 39801 | 9.2% |
| s | 39668 | 9.2% |
| o | 35549 | 8.3% |
| x | 35549 | 8.3% |
| u | 5625 | 1.3% |
| f | 4252 | 1.0% |
| a | 4252 | 1.0% |
| Other values (3) | 11250 | 2.6% |
| Distinct | 10 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 0.08186476903 |
| Minimum | -3.4 |
|---|---|
| Maximum | 1.4 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 17186 |
| Negative (%) | 41.7% |
| Memory size | 321.8 KiB |
Quantile statistics
| Minimum | -3.4 |
|---|---|
| 5-th percentile | -2.9 |
| Q1 | -1.8 |
| median | 1.1 |
| Q3 | 1.4 |
| 95-th percentile | 1.4 |
| Maximum | 1.4 |
| Range | 4.8 |
| Interquartile range (IQR) | 3.2 |
Descriptive statistics
| Standard deviation | 1.570899323 |
|---|---|
| Coefficient of variation (CV) | 19.18895444 |
| Kurtosis | -1.062807281 |
| Mean | 0.08186476903 |
| Median Absolute Deviation (MAD) | 0.3 |
| Skewness | -0.7239852583 |
| Sum | 3370.7 |
| Variance | 2.467724684 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=10)
| Value | Count | Frequency (%) |
| 1.4 | 16227 | |
| -1.8 | 9182 | |
| 1.1 | 7761 | |
| -0.1 | 3682 | 8.9% |
| -2.9 | 1662 | 4.0% |
| -3.4 | 1070 | 2.6% |
| -1.7 | 773 | 1.9% |
| -1.1 | 635 | 1.5% |
| -3 | 172 | 0.4% |
| -0.2 | 10 | < 0.1% |
| Value | Count | Frequency (%) |
| -3.4 | 1070 | 2.6% |
| -3 | 172 | 0.4% |
| -2.9 | 1662 | 4.0% |
| -1.8 | 9182 | |
| -1.7 | 773 | 1.9% |
| -1.1 | 635 | 1.5% |
| -0.2 | 10 | < 0.1% |
| -0.1 | 3682 | 8.9% |
| 1.1 | 7761 | |
| 1.4 | 16227 |
| Value | Count | Frequency (%) |
| 1.4 | 16227 | |
| 1.1 | 7761 | |
| -0.1 | 3682 | 8.9% |
| -0.2 | 10 | < 0.1% |
| -1.1 | 635 | 1.5% |
| -1.7 | 773 | 1.9% |
| -1.8 | 9182 | |
| -2.9 | 1662 | 4.0% |
| -3 | 172 | 0.4% |
| -3.4 | 1070 | 2.6% |
| Distinct | 26 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 93.57571293 |
| Minimum | 92.201 |
|---|---|
| Maximum | 94.767 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 321.8 KiB |
Quantile statistics
| Minimum | 92.201 |
|---|---|
| 5-th percentile | 92.713 |
| Q1 | 93.075 |
| median | 93.749 |
| Q3 | 93.994 |
| 95-th percentile | 94.465 |
| Maximum | 94.767 |
| Range | 2.566 |
| Interquartile range (IQR) | 0.919 |
Descriptive statistics
| Standard deviation | 0.5788490096 |
|---|---|
| Coefficient of variation (CV) | 0.006185889388 |
| Kurtosis | -0.8299137705 |
| Mean | 93.57571293 |
| Median Absolute Deviation (MAD) | 0.38 |
| Skewness | -0.2308249341 |
| Sum | 3852886.404 |
| Variance | 0.3350661759 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=26)
| Value | Count | Frequency (%) |
| 93.994 | 7761 | |
| 93.918 | 6681 | |
| 92.893 | 5793 | |
| 93.444 | 5172 | |
| 94.465 | 4374 | |
| 93.2 | 3615 | |
| 93.075 | 2457 | 6.0% |
| 92.201 | 770 | 1.9% |
| 92.963 | 715 | 1.7% |
| 92.431 | 446 | 1.1% |
| Other values (16) | 3390 |
| Value | Count | Frequency (%) |
| 92.201 | 770 | 1.9% |
| 92.379 | 267 | 0.6% |
| 92.431 | 446 | 1.1% |
| 92.469 | 177 | 0.4% |
| 92.649 | 357 | 0.9% |
| 92.713 | 172 | 0.4% |
| 92.756 | 10 | < 0.1% |
| 92.843 | 282 | 0.7% |
| 92.893 | 5793 | |
| 92.963 | 715 | 1.7% |
| Value | Count | Frequency (%) |
| 94.767 | 128 | 0.3% |
| 94.601 | 204 | 0.5% |
| 94.465 | 4374 | |
| 94.215 | 311 | 0.8% |
| 94.199 | 303 | 0.7% |
| 94.055 | 229 | 0.6% |
| 94.027 | 233 | 0.6% |
| 93.994 | 7761 | |
| 93.918 | 6681 | |
| 93.876 | 212 | 0.5% |
| Distinct | 26 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | -40.5030699 |
| Minimum | -50.8 |
|---|---|
| Maximum | -26.9 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 41174 |
| Negative (%) | 100.0% |
| Memory size | 321.8 KiB |
Quantile statistics
| Minimum | -50.8 |
|---|---|
| 5-th percentile | -47.1 |
| Q1 | -42.7 |
| median | -41.8 |
| Q3 | -36.4 |
| 95-th percentile | -33.6 |
| Maximum | -26.9 |
| Range | 23.9 |
| Interquartile range (IQR) | 6.3 |
Descriptive statistics
| Standard deviation | 4.62787732 |
|---|---|
| Coefficient of variation (CV) | -0.1142599149 |
| Kurtosis | -0.3589891849 |
| Mean | -40.5030699 |
| Median Absolute Deviation (MAD) | 4.4 |
| Skewness | 0.3029833863 |
| Sum | -1667673.4 |
| Variance | 21.41724849 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=26)
| Value | Count | Frequency (%) |
| -36.4 | 7761 | |
| -42.7 | 6681 | |
| -46.2 | 5793 | |
| -36.1 | 5172 | |
| -41.8 | 4374 | |
| -42 | 3615 | |
| -47.1 | 2457 | 6.0% |
| -31.4 | 770 | 1.9% |
| -40.8 | 715 | 1.7% |
| -26.9 | 446 | 1.1% |
| Other values (16) | 3390 |
| Value | Count | Frequency (%) |
| -50.8 | 128 | 0.3% |
| -50 | 282 | 0.7% |
| -49.5 | 204 | 0.5% |
| -47.1 | 2457 | 6.0% |
| -46.2 | 5793 | |
| -45.9 | 10 | < 0.1% |
| -42.7 | 6681 | |
| -42 | 3615 | |
| -41.8 | 4374 | |
| -40.8 | 715 | 1.7% |
| Value | Count | Frequency (%) |
| -26.9 | 446 | 1.1% |
| -29.8 | 267 | 0.6% |
| -30.1 | 357 | 0.9% |
| -31.4 | 770 | 1.9% |
| -33 | 172 | 0.4% |
| -33.6 | 177 | 0.4% |
| -34.6 | 174 | 0.4% |
| -34.8 | 264 | 0.6% |
| -36.1 | 5172 | |
| -36.4 | 7761 |
| Distinct | 316 |
|---|---|
| Distinct (%) | 0.8% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 3.621230752 |
| Minimum | 0.634 |
|---|---|
| Maximum | 5.045 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 321.8 KiB |
Quantile statistics
| Minimum | 0.634 |
|---|---|
| 5-th percentile | 0.797 |
| Q1 | 1.344 |
| median | 4.857 |
| Q3 | 4.961 |
| 95-th percentile | 4.966 |
| Maximum | 5.045 |
| Range | 4.411 |
| Interquartile range (IQR) | 3.617 |
Descriptive statistics
| Standard deviation | 1.734455757 |
|---|---|
| Coefficient of variation (CV) | 0.4789685816 |
| Kurtosis | -1.406900443 |
| Mean | 3.621230752 |
| Median Absolute Deviation (MAD) | 0.108 |
| Skewness | -0.7091173401 |
| Sum | 149100.555 |
| Variance | 3.008336774 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 4.857 | 2867 | 7.0% |
| 4.962 | 2611 | 6.3% |
| 4.963 | 2487 | 6.0% |
| 4.961 | 1902 | 4.6% |
| 4.856 | 1210 | 2.9% |
| 4.964 | 1175 | 2.9% |
| 1.405 | 1169 | 2.8% |
| 4.965 | 1070 | 2.6% |
| 4.864 | 1044 | 2.5% |
| 4.96 | 1013 | 2.5% |
| Other values (306) | 24626 |
| Value | Count | Frequency (%) |
| 0.634 | 8 | < 0.1% |
| 0.635 | 43 | |
| 0.636 | 14 | < 0.1% |
| 0.637 | 6 | < 0.1% |
| 0.638 | 7 | < 0.1% |
| 0.639 | 16 | < 0.1% |
| 0.64 | 10 | < 0.1% |
| 0.642 | 35 | |
| 0.643 | 23 | |
| 0.644 | 38 |
| Value | Count | Frequency (%) |
| 5.045 | 9 | < 0.1% |
| 5 | 7 | < 0.1% |
| 4.97 | 172 | 0.4% |
| 4.968 | 991 | 2.4% |
| 4.967 | 642 | 1.6% |
| 4.966 | 620 | 1.5% |
| 4.965 | 1070 | |
| 4.964 | 1175 | |
| 4.963 | 2487 | |
| 4.962 | 2611 |
| Distinct | 11 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 5167.032805 |
| Minimum | 4963.6 |
|---|---|
| Maximum | 5228.1 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 321.8 KiB |
Quantile statistics
| Minimum | 4963.6 |
|---|---|
| 5-th percentile | 5017.5 |
| Q1 | 5099.1 |
| median | 5191 |
| Q3 | 5228.1 |
| 95-th percentile | 5228.1 |
| Maximum | 5228.1 |
| Range | 264.5 |
| Interquartile range (IQR) | 129 |
Descriptive statistics
| Standard deviation | 72.25239547 |
|---|---|
| Coefficient of variation (CV) | 0.01398334367 |
| Kurtosis | -0.003697318809 |
| Mean | 5167.032805 |
| Median Absolute Deviation (MAD) | 37.1 |
| Skewness | -1.044252858 |
| Sum | 212747408.7 |
| Variance | 5220.408652 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=11)
| Value | Count | Frequency (%) |
| 5228.1 | 16227 | |
| 5099.1 | 8532 | |
| 5191 | 7761 | |
| 5195.8 | 3682 | 8.9% |
| 5076.2 | 1662 | 4.0% |
| 5017.5 | 1070 | 2.6% |
| 4991.6 | 773 | 1.9% |
| 5008.7 | 650 | 1.6% |
| 4963.6 | 635 | 1.5% |
| 5023.5 | 172 | 0.4% |
| Value | Count | Frequency (%) |
| 4963.6 | 635 | 1.5% |
| 4991.6 | 773 | 1.9% |
| 5008.7 | 650 | 1.6% |
| 5017.5 | 1070 | 2.6% |
| 5023.5 | 172 | 0.4% |
| 5076.2 | 1662 | 4.0% |
| 5099.1 | 8532 | |
| 5176.3 | 10 | < 0.1% |
| 5191 | 7761 | |
| 5195.8 | 3682 |
| Value | Count | Frequency (%) |
| 5228.1 | 16227 | |
| 5195.8 | 3682 | 8.9% |
| 5191 | 7761 | |
| 5176.3 | 10 | < 0.1% |
| 5099.1 | 8532 | |
| 5076.2 | 1662 | 4.0% |
| 5023.5 | 172 | 0.4% |
| 5017.5 | 1070 | 2.6% |
| 5008.7 | 650 | 1.6% |
| 4991.6 | 773 | 1.9% |
| Distinct | 2 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 321.8 KiB |
| 0 | |
|---|---|
| 1 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 41174 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 36535 | |
| 1 | 4639 | 11.3% |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| 0 | 36535 | |
| 1 | 4639 | 11.3% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 36535 | |
| 1 | 4639 | 11.3% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 41174 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 36535 | |
| 1 | 4639 | 11.3% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 41174 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 36535 | |
| 1 | 4639 | 11.3% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 41174 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 36535 | |
| 1 | 4639 | 11.3% |
has_loan
Categorical
| Distinct | 2 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 321.8 KiB |
| 1 | |
|---|---|
| 0 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 41174 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 1 |
| 4th row | 0 |
| 5th row | 1 |
Common Values
| Value | Count | Frequency (%) |
| 1 | 24126 | |
| 0 | 17048 |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| 1 | 24126 | |
| 0 | 17048 |
Most occurring characters
| Value | Count | Frequency (%) |
| 1 | 24126 | |
| 0 | 17048 |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 41174 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 1 | 24126 | |
| 0 | 17048 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 41174 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 1 | 24126 | |
| 0 | 17048 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 41174 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 1 | 24126 | |
| 0 | 17048 |
job_admin.
Categorical
| Distinct | 2 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 321.8 KiB |
| 0 | |
|---|---|
| 1 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 41174 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 1 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 30425 | |
| 1 | 10749 | 26.1% |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| 0 | 30425 | |
| 1 | 10749 | 26.1% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 30425 | |
| 1 | 10749 | 26.1% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 41174 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 30425 | |
| 1 | 10749 | 26.1% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 41174 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 30425 | |
| 1 | 10749 | 26.1% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 41174 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 30425 | |
| 1 | 10749 | 26.1% |
| Distinct | 2 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 321.8 KiB |
| 0 | |
|---|---|
| 1 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 41174 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 31921 | |
| 1 | 9253 | 22.5% |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| 0 | 31921 | |
| 1 | 9253 | 22.5% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 31921 | |
| 1 | 9253 | 22.5% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 41174 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 31921 | |
| 1 | 9253 | 22.5% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 41174 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 31921 | |
| 1 | 9253 | 22.5% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 41174 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 31921 | |
| 1 | 9253 | 22.5% |
job_entrepreneur
Categorical
| Distinct | 2 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 321.8 KiB |
| 0 | |
|---|---|
| 1 | 1456 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 41174 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 39718 | |
| 1 | 1456 | 3.5% |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| 0 | 39718 | |
| 1 | 1456 | 3.5% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 39718 | |
| 1 | 1456 | 3.5% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 41174 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 39718 | |
| 1 | 1456 | 3.5% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 41174 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 39718 | |
| 1 | 1456 | 3.5% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 41174 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 39718 | |
| 1 | 1456 | 3.5% |
job_housemaid
Categorical
| Distinct | 2 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 321.8 KiB |
| 0 | |
|---|---|
| 1 | 1060 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 41174 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 1 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 40114 | |
| 1 | 1060 | 2.6% |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| 0 | 40114 | |
| 1 | 1060 | 2.6% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 40114 | |
| 1 | 1060 | 2.6% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 41174 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 40114 | |
| 1 | 1060 | 2.6% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 41174 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 40114 | |
| 1 | 1060 | 2.6% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 41174 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 40114 | |
| 1 | 1060 | 2.6% |
job_management
Categorical
| Distinct | 2 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 321.8 KiB |
| 0 | |
|---|---|
| 1 | 2924 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 41174 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 38250 | |
| 1 | 2924 | 7.1% |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| 0 | 38250 | |
| 1 | 2924 | 7.1% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 38250 | |
| 1 | 2924 | 7.1% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 41174 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 38250 | |
| 1 | 2924 | 7.1% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 41174 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 38250 | |
| 1 | 2924 | 7.1% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 41174 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 38250 | |
| 1 | 2924 | 7.1% |
| Distinct | 2 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 321.8 KiB |
| 0 | |
|---|---|
| 1 | 1718 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 41174 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 39456 | |
| 1 | 1718 | 4.2% |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| 0 | 39456 | |
| 1 | 1718 | 4.2% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 39456 | |
| 1 | 1718 | 4.2% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 41174 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 39456 | |
| 1 | 1718 | 4.2% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 41174 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 39456 | |
| 1 | 1718 | 4.2% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 41174 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 39456 | |
| 1 | 1718 | 4.2% |
job_self-employed
Categorical
| Distinct | 2 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 321.8 KiB |
| 0 | |
|---|---|
| 1 | 1421 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 41174 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 39753 | |
| 1 | 1421 | 3.5% |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| 0 | 39753 | |
| 1 | 1421 | 3.5% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 39753 | |
| 1 | 1421 | 3.5% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 41174 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 39753 | |
| 1 | 1421 | 3.5% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 41174 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 39753 | |
| 1 | 1421 | 3.5% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 41174 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 39753 | |
| 1 | 1421 | 3.5% |
job_services
Categorical
| Distinct | 2 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 321.8 KiB |
| 0 | |
|---|---|
| 1 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 41174 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 1 |
| 3rd row | 1 |
| 4th row | 0 |
| 5th row | 1 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 37207 | |
| 1 | 3967 | 9.6% |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| 0 | 37207 | |
| 1 | 3967 | 9.6% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 37207 | |
| 1 | 3967 | 9.6% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 41174 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 37207 | |
| 1 | 3967 | 9.6% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 41174 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 37207 | |
| 1 | 3967 | 9.6% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 41174 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 37207 | |
| 1 | 3967 | 9.6% |
job_student
Categorical
| Distinct | 2 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 321.8 KiB |
| 0 | |
|---|---|
| 1 | 875 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 41174 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 40299 | |
| 1 | 875 | 2.1% |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| 0 | 40299 | |
| 1 | 875 | 2.1% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 40299 | |
| 1 | 875 | 2.1% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 41174 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 40299 | |
| 1 | 875 | 2.1% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 41174 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 40299 | |
| 1 | 875 | 2.1% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 41174 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 40299 | |
| 1 | 875 | 2.1% |
job_technician
Categorical
| Distinct | 2 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 321.8 KiB |
| 0 | |
|---|---|
| 1 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 41174 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 34437 | |
| 1 | 6737 | 16.4% |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| 0 | 34437 | |
| 1 | 6737 | 16.4% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 34437 | |
| 1 | 6737 | 16.4% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 41174 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 34437 | |
| 1 | 6737 | 16.4% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 41174 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 34437 | |
| 1 | 6737 | 16.4% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 41174 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 34437 | |
| 1 | 6737 | 16.4% |
job_unemployed
Categorical
| Distinct | 2 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 321.8 KiB |
| 0 | |
|---|---|
| 1 | 1014 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 41174 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 40160 | |
| 1 | 1014 | 2.5% |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| 0 | 40160 | |
| 1 | 1014 | 2.5% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 40160 | |
| 1 | 1014 | 2.5% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 41174 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 40160 | |
| 1 | 1014 | 2.5% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 41174 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 40160 | |
| 1 | 1014 | 2.5% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 41174 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 40160 | |
| 1 | 1014 | 2.5% |
Pearson's r
The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
Spearman's ρ
The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
Kendall's τ
Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
Phik (φk)
Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.Cramér's V (φc)
Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here. A simple visualization of nullity by column.
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
First rows
| df_index | age | marital | education | default | contact | month | day_of_week | duration | campaign | pdays | previous | poutcome | emp.var.rate | cons.price.idx | cons.conf.idx | euribor3m | nr.employed | subscribed | has_loan | job_admin. | job_blue-collar | job_entrepreneur | job_housemaid | job_management | job_retired | job_self-employed | job_services | job_student | job_technician | job_unemployed | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 0 | 56 | married | basic | no | telephone | may | mon | 261 | 1 | 999 | 0 | nonexistent | 1.1 | 93.994 | -36.4 | 4.857 | 5191.0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 1 | 1 | 57 | married | high.school | no | telephone | may | mon | 149 | 1 | 999 | 0 | nonexistent | 1.1 | 93.994 | -36.4 | 4.857 | 5191.0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 |
| 2 | 2 | 37 | married | high.school | no | telephone | may | mon | 226 | 1 | 999 | 0 | nonexistent | 1.1 | 93.994 | -36.4 | 4.857 | 5191.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 |
| 3 | 3 | 40 | married | basic | no | telephone | may | mon | 151 | 1 | 999 | 0 | nonexistent | 1.1 | 93.994 | -36.4 | 4.857 | 5191.0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 4 | 4 | 56 | married | high.school | no | telephone | may | mon | 307 | 1 | 999 | 0 | nonexistent | 1.1 | 93.994 | -36.4 | 4.857 | 5191.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 |
| 5 | 5 | 45 | married | basic | no | telephone | may | mon | 198 | 1 | 999 | 0 | nonexistent | 1.1 | 93.994 | -36.4 | 4.857 | 5191.0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 |
| 6 | 6 | 59 | married | professional.course | no | telephone | may | mon | 139 | 1 | 999 | 0 | nonexistent | 1.1 | 93.994 | -36.4 | 4.857 | 5191.0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 7 | 7 | 41 | married | basic | no | telephone | may | mon | 217 | 1 | 999 | 0 | nonexistent | 1.1 | 93.994 | -36.4 | 4.857 | 5191.0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 8 | 8 | 24 | single | professional.course | no | telephone | may | mon | 380 | 1 | 999 | 0 | nonexistent | 1.1 | 93.994 | -36.4 | 4.857 | 5191.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
| 9 | 9 | 25 | single | high.school | no | telephone | may | mon | 50 | 1 | 999 | 0 | nonexistent | 1.1 | 93.994 | -36.4 | 4.857 | 5191.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 |
Last rows
| df_index | age | marital | education | default | contact | month | day_of_week | duration | campaign | pdays | previous | poutcome | emp.var.rate | cons.price.idx | cons.conf.idx | euribor3m | nr.employed | subscribed | has_loan | job_admin. | job_blue-collar | job_entrepreneur | job_housemaid | job_management | job_retired | job_self-employed | job_services | job_student | job_technician | job_unemployed | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 41164 | 41178 | 62 | married | university.degree | no | cellular | nov | thu | 483 | 2 | 6 | 3 | success | -1.1 | 94.767 | -50.8 | 1.031 | 4963.6 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 |
| 41165 | 41179 | 64 | divorced | professional.course | no | cellular | nov | fri | 151 | 3 | 999 | 0 | nonexistent | -1.1 | 94.767 | -50.8 | 1.028 | 4963.6 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 |
| 41166 | 41180 | 36 | married | university.degree | no | cellular | nov | fri | 254 | 2 | 999 | 0 | nonexistent | -1.1 | 94.767 | -50.8 | 1.028 | 4963.6 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 41167 | 41181 | 37 | married | university.degree | no | cellular | nov | fri | 281 | 1 | 999 | 0 | nonexistent | -1.1 | 94.767 | -50.8 | 1.028 | 4963.6 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 41168 | 41182 | 29 | single | basic | no | cellular | nov | fri | 112 | 1 | 9 | 1 | success | -1.1 | 94.767 | -50.8 | 1.028 | 4963.6 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
| 41169 | 41183 | 73 | married | professional.course | no | cellular | nov | fri | 334 | 1 | 999 | 0 | nonexistent | -1.1 | 94.767 | -50.8 | 1.028 | 4963.6 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 |
| 41170 | 41184 | 46 | married | professional.course | no | cellular | nov | fri | 383 | 1 | 999 | 0 | nonexistent | -1.1 | 94.767 | -50.8 | 1.028 | 4963.6 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 41171 | 41185 | 56 | married | university.degree | no | cellular | nov | fri | 189 | 2 | 999 | 0 | nonexistent | -1.1 | 94.767 | -50.8 | 1.028 | 4963.6 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 |
| 41172 | 41186 | 44 | married | professional.course | no | cellular | nov | fri | 442 | 1 | 999 | 0 | nonexistent | -1.1 | 94.767 | -50.8 | 1.028 | 4963.6 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
| 41173 | 41187 | 74 | married | professional.course | no | cellular | nov | fri | 239 | 3 | 999 | 1 | failure | -1.1 | 94.767 | -50.8 | 1.028 | 4963.6 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 |